Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-organized content audit skill with a clear framework (keep/update/merge/redirect/delete), useful decision matrix, and good failure patterns section. Its main weaknesses are length (could be more concise), lack of executable/tool-specific commands, and insufficient validation checkpoints in the workflow for what are potentially destructive batch operations. The referenced bundle files don't exist, limiting the progressive disclosure score.
Suggestions
Add explicit validation checkpoints in the workflow, e.g., 'Verify all URLs have complete metric data before scoring' and 'Test a sample of 5 redirects before batch-implementing the full redirect map.'
Include specific tool commands or code snippets for pulling data (e.g., GSC API query, Screaming Frog export settings, or a Python script to merge data sources into the audit spreadsheet).
Move the detailed scoring inputs table and the full 5-action framework descriptions into a reference file, keeping the SKILL.md as a concise overview with the decision matrix and workflow as the core content.
Provide the referenced bundle files (audit-template.md, cannibalization-resolution.md) or remove the references if they don't exist.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is generally well-structured and avoids explaining basic SEO concepts, but it's quite long (~200 lines) with some redundancy between the framework section, decision matrix, and workflow. The 'When to use' and 'When NOT to use' sections add useful context but the signals lists could be tighter. The scoring inputs table is valuable but some thresholds are somewhat obvious. | 2 / 3 |
Actionability | The framework, decision matrix, and scoring thresholds provide concrete guidance, and the output format is well-specified. However, there are no executable code/commands, no specific tool commands (e.g., Screaming Frog export steps, GSC API queries), and the workflow steps remain at a procedural description level rather than copy-paste ready instructions. The skill is instruction-oriented but could be more specific about how to actually pull and process the data. | 2 / 3 |
Workflow Clarity | The 7-step workflow is clearly sequenced and step 6 mentions re-crawling after batches as a validation checkpoint. However, there are no explicit validation/feedback loops between steps (e.g., 'verify metric completeness before scoring,' 'confirm redirect chains resolve correctly before proceeding'). For a batch/destructive operation like mass deletes and redirects, the validation is insufficient — the failure patterns section partially compensates but is separate from the workflow. | 2 / 3 |
Progressive Disclosure | The skill references two external files (audit-template.md and cannibalization-resolution.md) which is good progressive disclosure, but no bundle files were provided, so these references are unverifiable. The main content itself is quite long and some sections (like the detailed scoring inputs table and the full framework descriptions) could arguably be moved to reference files, keeping the SKILL.md as a leaner overview. | 2 / 3 |
Total | 8 / 12 Passed |